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Questions and Answers
What is the probability mass function (PMF) of a uniform distribution U(a,b)?
What is the probability mass function (PMF) of a uniform distribution U(a,b)?
What is the variance of a uniform distribution U(a,b)?
What is the variance of a uniform distribution U(a,b)?
What is the moment generating function (MGF) of a uniform distribution U(a,b)?
What is the moment generating function (MGF) of a uniform distribution U(a,b)?
For a uniform distribution U(2,8), what is the mean?
For a uniform distribution U(2,8), what is the mean?
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What is the variance of the uniform distribution U(4,9)?
What is the variance of the uniform distribution U(4,9)?
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Calculate the moment generating function for the uniform distribution U(3,7). What is the result?
Calculate the moment generating function for the uniform distribution U(3,7). What is the result?
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In a uniform distribution U(0,5), what is the probability of X taking a value of 3?
In a uniform distribution U(0,5), what is the probability of X taking a value of 3?
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Find the variance for the uniform distribution U(6,10). What is the correct variance calculation?
Find the variance for the uniform distribution U(6,10). What is the correct variance calculation?
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In a uniform distribution U(3,9), what is the probability of X being 7?
In a uniform distribution U(3,9), what is the probability of X being 7?
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Calculate the mean for the uniform distribution U(5,11). What is the correct mean value?
Calculate the mean for the uniform distribution U(5,11). What is the correct mean value?
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What is the mean and variance of a Poisson distribution?
What is the mean and variance of a Poisson distribution?
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What is the moment generating function (MGF) of a Binomial distribution?
What is the moment generating function (MGF) of a Binomial distribution?
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In the Poisson distribution, what does the parameter ? represent?
In the Poisson distribution, what does the parameter ? represent?
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What does the Probability Mass Function (PMF) represent in a Binomial distribution?
What does the Probability Mass Function (PMF) represent in a Binomial distribution?
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What is the formula for the moment generating function (MGF) of a Poisson distribution?
What is the formula for the moment generating function (MGF) of a Poisson distribution?
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What does the binomial coefficient (kn?) represent in a Binomial distribution PMF?
What does the binomial coefficient (kn?) represent in a Binomial distribution PMF?
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In the context of moment generating functions, what does E[etX] stand for?
In the context of moment generating functions, what does E[etX] stand for?
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Study Notes
Discrete Probability Distributions
Uniform Distribution (Discrete)
- Notation: U(a, b) where a and b are the minimum and maximum values of the distribution
- Probability Mass Function (PMF): 1/(b-a+1) for x=a, a+1, ..., b, and 0 for other values of x
- Mean (μ): (a+b)/2
- Variance (σ²): (b-a+1)²/12
- Moment Generating Function (MGF): (b-a+1)(e^t-1) / (e^(b+1)t - e^at)
Example: Uniform Distribution U(1, 6)
- Mean: 3.5
- Variance: 35/12
- Moment Generating Function: (6(e^t-1)) / (e^7t - e^t)
Binomial Distribution
- Notation: B(n, p) where n is the number of trials and p is the probability of success
- Probability Mass Function (PMF): (k choose n) p^k (1-p)^(n-k) where k is the number of successes
- Mean (μ): np
- Variance (σ²): np(1-p)
- Moment Generating Function (MGF): Σ(etk) (k choose n) p^k (1-p)^(n-k) from k=0 to n
Example: Binomial Distribution B(5, 0.3)
- Mean: 1.5
- Variance: 1.05
- Moment Generating Function: (0.7 + 0.21e^t + 0.0153e^(2t))
Poisson Distribution
- Notation: Poisson(λ)
- Probability Mass Function (PMF): e^(-λ) (λ^k) / k! where k is the number of events
- Mean (μ): λ
- Variance (σ²): λ
- Moment Generating Function (MGF): e^(λ(e^t-1))
Example: Poisson Distribution Poisson(2)
- Mean: 2
- Variance: 2
- Moment Generating Function: e^(2(e^t-1))
Continuous Probability Distributions
Continuous Uniform Distribution
- A continuous uniform distribution is a probability distribution where every value between a certain range has an equal likelihood of occurring.
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Description
Learn about the properties of the discrete uniform distribution including notation, probability mass function, mean, variance, and moment generating functions. Understand how to calculate the mean and variance of a uniform distribution with minimum (a) and maximum (b) values.